Operator Calculus for Population-Based Optimization: Modular Convergence and Finite-Population Guarantees
This work creates a unified mathematical framework using operator calculus to analyze convergence for population-based optimization methods like evolution strategies. It decomposes complex algorithms into three fundamental operators—mutation, selection, and recombination—to prove modular convergence guarantees through a Lyapunov principle.